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token-cost-ledger

Log AI token usage entries and generate cost summary reports.

6|1|Updated Feb 25, 2026
Search Tags:#token usage#budget monitoring#ai cost#cost accounting#cogs#feature cost
One-click install
npx skills add https://github.com/vibbs/company-os --skill token-cost-ledger
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: token-cost-ledger
Source: https://github.com/vibbs/company-os/tree/main/.claude/skills/token-cost-ledger
Command: npx skills add https://github.com/vibbs/company-os --skill token-cost-ledger

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a lightweight, git-trackable system for accounting AI token consumption and costs, helping users manage their AI spend effectively.

Core Features & Use Cases

  • Log Token Usage: Record detailed entries for AI model usage, including input/output tokens, agents, and features.
  • Generate Reports: Create summary reports of AI spend by category, model, and agent, and track budget health.
  • Monitor Budget: Check current AI spending against a monthly budget and receive alerts.
  • Feature Cost Analysis: Determine the total cost associated with building specific features.
  • Use Case: After completing a major feature development using AI, log the session costs to understand the exact COGS and compare it against the allocated monthly budget.

Quick Start

Use the token-cost-ledger skill to log a new token usage entry for a recent AI session.

Frequently Asked Questions about token-cost-ledger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track AI token costs as COGS for my development sessions?▼

You can track AI token costs as COGS by logging individual entries for model usage, including input/output tokens, agents, and features. This provides a git-trackable cost accounting system for analyzing spend against your monthly budget.

What is the best way to monitor my AI budget and receive spending alerts?▼

The best way to monitor an AI budget is by generating period summaries that check current consumption against a monthly budget. This budget health monitoring helps solo developers and teams receive alerts when AI spend approaches allocated limits.

Can I generate per-feature cost breakdowns for AI agent usage?▼

Yes, you can generate per-feature cost breakdowns for AI agent usage. The system categorizes AI token consumption by feature, allowing you to determine the total cost associated with building specific features and analyze model spend by category.

Does this cost accounting system require external dependencies to log token usage?▼

No, this cost accounting system requires no external dependencies to log token usage. It provides a lightweight, git-trackable solution for recording AI model sessions, making it suitable for solo developers needing standalone budget monitoring.

How do I create summary reports of AI spend by model and agent?▼

You create summary reports of AI spend by logging token usage entries and generating period summaries. This summarizes your AI spend by category, model, and agent, providing a clear breakdown of your overall Cost of Goods Sold.

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